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How To Fix /SAPAPO/OPT_VSR_MSG104 - Schedule for vehicle &1 is infeasible


SAP Error Message - Details

  • Message type: E = Error

  • Message class: /SAPAPO/OPT_VSR_MSG -

  • Message number: 104

  • Message text: Schedule for vehicle &1 is infeasible

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  • Self-Explanatory Message

    Since SAP believes that this specific error message is 'self-explanatory,' no more information has been given.The majority of messages in the SAP system have a message text, however this is frequently insufficient to comprehend or resolve the problem.

    To make things easier, more detailed information is frequently added to describe the issue, how to fix it, and the necessary steps or configuration modifications.

    Unfortunately, there isn't any extra information in this error notice.



    What else can you do?

    First, use our AnswerBot below to get a possible cause and solution (requires a premium subscription).

    Also, review the in-depth Common Questions & Answers listed below; you could discover a solution there or be able to connect with others who have faced similar challenges.

    You can also try searching the SAP support portal (support.sap.com) but you need a special user ID to access it. It is possible that an SAP support note exists that provides additional details about the mistake or even steps for fixing it.


Smart SAP Assistant

  • What is the cause and solution for SAP error message /SAPAPO/OPT_VSR_MSG104 - Schedule for vehicle &1 is infeasible ?

    The SAP error message /SAPAPO/OPT_VSR_MSG104 indicates that the scheduling for a vehicle (identified by &1) is infeasible. This typically occurs in the context of Advanced Planning and Optimization (APO) when the system cannot find a valid schedule for the vehicle based on the constraints and parameters defined in the planning scenario.

    Causes:

    1. Capacity Constraints: The vehicle may not have enough capacity to meet the demand or the planned production.
    2. Time Constraints: The scheduling might conflict with time windows, such as delivery times or production times.
    3. Resource Availability: The vehicle may not be available during the required time frame due to maintenance, other commitments, or scheduling conflicts.
    4. Incorrect Master Data: Issues with master data, such as incorrect vehicle configurations, transportation lanes, or resource definitions.
    5. Demand and Supply Mismatch: The demand for transportation may exceed the available supply, leading to infeasibility.
    6. Planning Parameters: Incorrect planning parameters or settings in the APO system can lead to infeasibility.

    Solutions:

    1. Check Vehicle Capacity: Ensure that the vehicle has sufficient capacity to handle the planned load. Adjust the load or use a different vehicle if necessary.
    2. Review Scheduling Constraints: Verify the time windows and constraints set for the vehicle. Adjust the scheduling parameters to allow for feasible planning.
    3. Resource Availability: Confirm that the vehicle is available for the required time. If it is not, consider rescheduling or using an alternative vehicle.
    4. Validate Master Data: Check the master data related to the vehicle, including transportation lanes, resource definitions, and any other relevant settings. Correct any discrepancies.
    5. Adjust Demand and Supply: If there is a mismatch between demand and supply, consider adjusting the demand or increasing the available transportation resources.
    6. Reconfigure Planning Parameters: Review and adjust the planning parameters in the APO system to ensure they align with the current operational requirements.

    Related Information:

    • Transaction Codes: Use transaction codes like /SAPAPO/OPT_VSR to access the vehicle scheduling and review the details.
    • Logs and Messages: Check the logs for additional error messages or warnings that may provide more context on the infeasibility.
    • Documentation: Refer to SAP documentation for Advanced Planning and Optimization for detailed guidelines on vehicle scheduling and capacity planning.
    • Support: If the issue persists, consider reaching out to SAP support or consulting with an SAP APO expert for further assistance.

    By systematically addressing the potential causes and implementing the suggested solutions, you should be able to resolve the scheduling infeasibility for the vehicle in question.

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